Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17247, first published .
Mapping and Modeling of Discussions Related to Gastrointestinal Discomfort in French-Speaking Online Forums: Results of a 15-Year Retrospective Infodemiology Study

Mapping and Modeling of Discussions Related to Gastrointestinal Discomfort in French-Speaking Online Forums: Results of a 15-Year Retrospective Infodemiology Study

Mapping and Modeling of Discussions Related to Gastrointestinal Discomfort in French-Speaking Online Forums: Results of a 15-Year Retrospective Infodemiology Study

Journals

  1. Zhong B, Liu Q. Medical Insights from Posts About Irritable Bowel Syndrome by Adolescent Patients and Their Parents: Topic Modeling and Social Network Analysis. Journal of Medical Internet Research 2021;23(6):e26867 View
  2. Déguilhem A, Malaab J, Talmatkadi M, Renner S, Foulquié P, Fagherazzi G, Loussikian P, Marty T, Mebarki A, Texier N, Schuck S. Identifying Profiles and Symptoms of Patients With Long COVID in France: Data Mining Infodemiology Study Based on Social Media. JMIR Infodemiology 2022;2(2):e39849 View
  3. Koss J, Rheinlaender A, Truebel H, Bohnet-Joschko S. Social media mining in drug development—Fundamentals and use cases. Drug Discovery Today 2021;26(12):2871 View
  4. Chaumont S, Quinquis L, Monnerie B, Six C, Hébel P, Chassany O, Duracinsky M, Le Nevé B. A poor diet quality is associated with more gas-related symptoms and a decreased quality of life in French adults. British Journal of Nutrition 2023;129(4):715 View
  5. Schäfer F, Quinquis L, Klein M, Escutnaire J, Chavanel F, Chevallier H, Fagherazzi G. Attitudes and Expectations of Clinical Research Participants Toward Digital Health and Mobile Dietary Assessment Tools: Cross-Sectional Survey Study. Frontiers in Digital Health 2022;4 View
  6. Chen X, Cheng G, Wang F, Tao X, Xie H, Xu L. Machine and cognitive intelligence for human health: systematic review. Brain Informatics 2022;9(1) View
  7. Czernichow S, Rassy N, Malaab J, Loussikian P, Mebarki A, Khadhar M, Poghosyan T, Fagherrazi G, Carette C, Schück S, Rives-Lange C. Patients’ and caregivers’ perceptions of bariatric surgery: A France and United States comparative infodemiology study using social media data mining. Frontiers in Digital Health 2023;5 View
  8. Fruchart M, El Idrissi F, Lamer A, Belarbi K, Lemdani M, Zitouni D, Guinhouya B. Identification of early symptoms of endometriosis through the analysis of online social networks: A social media study. DIGITAL HEALTH 2023;9:205520762311761 View
  9. Gu D, Wang Q, Chai Y, Yang X, Zhao W, Li M, Zolotarev O, Xu Z, Zhang G. Identifying the Risk Factors of Allergic Rhinitis Based on Zhihu Comment Data Using a Topic-Enhanced Word-Embedding Model: Mixed Method Study and Cluster Analysis. Journal of Medical Internet Research 2024;26:e48324 View
  10. Gouy G, Attali L, Voillot P, Fournet P, Agostini A. Experiences of Women With Medical Abortion Care Reflected in Social Media (VEILLE Study): Noninterventional Retrospective Exploratory Infodemiology Study. JMIR Infodemiology 2024;4:e49335 View